DocumentCode :
2700243
Title :
Prescreening algorithm assessment within the analysts´ detection support system
Author :
Blucher, Guy ; Blacknell, David ; Redding, Nicholas J. ; Vagg, Danny
Author_Institution :
ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
fYear :
2003
fDate :
3-5 Sept. 2003
Firstpage :
454
Lastpage :
459
Abstract :
This analysts´ detection support system (ADSS) contains a suite of target detection algorithms for wide area aerial surveillance using synthetic aperture radar (SAR) imagery. The ADSS provides a framework to combine the operation of these algorithms in user-specified configurations. This paper compares and contrasts the performance of the various prescreening algorithms singly and in combination within the ADSS framework on a broad range of SAR imagery. The algorithms include adaptive threshold, K-distributed CFAR, average grey absolute difference magnitude map, and segmenting K-distributed CFAR. The performance of these algorithms is compared on polarimetric imagery to assess the contribution of polarimetry to target detection.
Keywords :
image recognition; radar detection; radar imaging; search radar; synthetic aperture radar; ADSS; K-distributed CFAR; SAR imagery; adaptive threshold; average grey absolute difference magnitude map; image analyst detection support system; polarimetric imagery; prescreening algorithm; segmenting K-distributed CFAR; synthetic aperture radar; target detection; wide area aerial surveillance; Algorithm design and analysis; Australia; Image analysis; Image segmentation; Leg; Military computing; Object detection; Radar detection; Surveillance; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the International
Print_ISBN :
0-7803-7870-9
Type :
conf
DOI :
10.1109/RADAR.2003.1278785
Filename :
1278785
Link To Document :
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